Football Teaching Quality Evaluation and Promotion Strategy Based on Intelligent Algorithms in Higher Vocational Colleges

Autor: Xiance Jiao, Zefeng Li
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Wireless Communications and Mobile Computing.
ISSN: 1530-8669
DOI: 10.1155/2022/9469553
Popis: With the continuous deepening of the education reform, the number of students in higher vocational college (HVC) has increased, which puts forward higher requirements for the overall development of talents. Football is a relatively common sport in HVC with a certain degree of regularity and difficulty. Therefore, how to improve the level and the quality of teaching through scientific and reasonable teaching methods has become one of the problems that need to be solved in HVC. This article mainly focuses on the analysis and research of the traditional teaching mode and students’ learning situation based on the intelligent algorithm and puts forward effective improvement suggestions and strategies for reference. This article uses questionnaire surveys and data analysis methods to understand the evaluation results of the school’s teachers and students on the teaching quality (TQ) of the football course and the necessity of implementing improvement strategies through questionnaire surveys. According to the survey results, most of the interviewees had a high evaluation of the TQ of the school’s football course. 46 of the teachers and students who participated in the evaluation rated the school’s football course teaching methods as excellent, and only 2 rated it as passing. In addition, 49 of the teachers and students interviewed believe that it is necessary to optimize the strength of teachers, followed by perfecting the equipment configuration of the venue.
Databáze: OpenAIRE